An example operation may provide receiving a communication from a drone among drones active in an area, forwarding a token authorizing the drone to a blockchain, storing a transaction in the blockchain comprising a drone identifier and the token, and assigning the drone a role and a mission to complete one or more tasks.

A method includes, in response to a determination that one or more authenticated delivery locations includes a first delivery location, identifying, using an unmanned aerial vehicle registry, one or more unmanned aerial vehicles based on at least one unmanned aerial vehicle characteristic associated with a medication delivery request. The method also includes determining, for each unmanned aerial vehicle of the one or more unmanned aerial vehicles, an availability status, selecting an unmanned aerial vehicle based on at least a corresponding availability status and at least one selection criteria, and instructing the unmanned aerial vehicle to transport the medication package from a starting location to the first delivery location.

System and method are disclosed for multi-phase process of automated data capture for photogrammetry and 3D model building of an unknown object (311) in an unknown environment. Planner module (152) generates a flight plan (413) for a camera drone (110) to fly autonomously on a flight path along a virtual polygon grid (302) defined above the target object (311) during a survey phase. Model builder computer (153) receives a point cloud dataset (321) captured by LiDAR sensor on camera drone (301) during survey flight and constructs low resolution 3D mesh (331) of the target object (311). Planner module (152) generates a flight path (413) for camera drone inspection phase with virtual waypoints surrounding the target object (311) at a marginal distance from the surface defined by the low resolution 3D mesh (331). Model builder (153, 163) builds a high resolution 3D model (422) of the target object (311) using photogrammetry processing of high resolution images captured by camera drone (411, 412) during inspection phase.

A show-ride system includes a first moveable component configured to couple with and support a show structure; a second moveable component configured to couple with and support the show structure; and a manipulator of the first moveable component, wherein the manipulator transfers the show structure from the first movable component to the second moveable component. The show-ride system also includes detection circuitry to determine an initial position of the first moveable component and an initial position of the second moveable component. The show-ride system also includes a positional controller configured to determine adjustments to the initial position of the first moveable component and/or the initial position of the second moveable component and provide instructions regarding the adjustments to the first moveable component and/or the second moveable component for a transfer of the show structure while the first moveable component, the second moveable component, or both are in motion.

A route planning system configured to create a route plan of a forage harvesting process chain. The forage harvesting process chain comprises a plurality of agricultural work machines which perform a forage harvesting process in a predetermined order. The forage harvesting process comprises successive process steps with each process step being performed by a number of the plurality of agricultural work machines. The route planning system is further configured to generate a common route plan for the plurality of agricultural work machines of the forage harvesting process chain and/or an individualized route plan for each agricultural work machine of the plurality of agricultural work machines.

An automated storage and retrieval system including at least one autonomous rover for transferring payload within the system and including a communicator, a multilevel storage structure, each level allowing traversal of the at least one autonomous rover, at least one registration station disposed at predetermined locations on each level and being configured to communicate with the communicator to at least receive rover identification information, and a controller in communication with the at least one registration station and configured to receive the at least rover identification information and at least one of register the at least one autonomous rover as being on a level corresponding to a respective one of the at least one registration station or deregister the at least one autonomous rover from the system, where the controller effects induction of the at least one autonomous rover into a predetermined rover space on the level.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide map data for autonomous vehicles. In particular, a method may include accessing subsets of multiple types of sensor data, aligning subsets of sensor data relative to a global coordinate system based on the multiple types of sensor data to form aligned sensor data, and generating datasets of three-dimensional map data. The method further includes detecting a change in data relative to at least two datasets of the three-dimensional map data and applying the change in data to form updated three-dimensional map data. The change in data may be representative of a state change of an environment at which the sensor data is sensed. The state change of the environment may be related to the presence or absences of an object located therein.

One variation of a method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

A system for loading and transporting parcels includes: a sorter including a plurality of chutes for offloading parcels from the sorter; a plurality of totes; a plurality of self-driving vehicles (SDVs) configured to transport the plurality of totes between a loading area, an unloading area, and a queue area; and a control subsystem. The loading area includes a plurality of zones, with each zone corresponding to one or more chutes of the sorter. The control subsystem includes a controller, which is operably connected to the SDVs, and which selectively communicates instructions to dispatch SDVs to transport and replace totes in the loading area as they become filled to the predetermined capacity. A method for loading and transporting parcels in a sorting facility including a loading area, an unloading area, and a queue area is also disclosed.

A moving object operation management device is configured to set an exclusive section when a work of a certain moving object inhibits movement of a passage of another moving object, and to selectively issue a first operation instruction for moving one of the two moving objects to the next destination on a path bypassing the exclusive section for the other when the exclusive section for one of the two moving objects and the exclusive section for the other object are adjacent to each other and the movement on the shortest path to the next destination is inhibited by the other exclusive section, and a second operation instruction for moving one of the two moving objects to the next destination on the shortest path after the exclusive section for the other object is released, by comparing the arrival time to the one next destination when the instruction is followed.